Faunhofer Project Center for Production Management and Informatics PMI

Filters

2
Reset filters

Settings
Now showing 1 - 2 of 2
No Thumbnail Available
Publication

Automatic simulation model generation supported by data stored in low level controllers

2012 , Popovics, G. , Kardos, C. , Pfeiffer, A. , Kádár, B. , Vén, Z. , Monostori, L.

One of the most widespread techniques to evaluate various aspects of a manufacturing system is discrete-event simulation (DES). However, building a simulation model of a manufacturing system is a difficult task and needs great resource expenditures. Automated data collection and model buildup can drastically reduce the time of the design phase as well as support model reusability. Since most of the manufacturing systems are controlled by low level controllers (e.g., PLCs, CNCs) they store structure and control logic of the system to be modeled by a DES system. The paper introduces an ongoing research of PLC program processing method for automatic simulation model generation of a conveyor system of a leading automotive factory. Results of the validation process and simulation experiments are also described through a case study.

View
No Thumbnail Available
Publication

PLC code processing for automatic simulation model generation

2011 , Popovics, G. , Pfeiffer, A. , Kadar, B. , Ven, Z. , Monostori, L.

One of the most widespread techniques to evaluate various aspects of a manufacturing system is discreteevent simulation (DES) (Banks 1998, Law and Kelton 2000, O'Rielly and Lilegdon 1999). However, building a simulation model of a manufacturing system is a difficult task and needs great resource expenditures. Automated data collection and model buildup can drastically reduce the time of the design phase as well as support model reusability. Since most of the manufacturing systems are controlled by low level controllers (e.g., PLCs, CNCs) they store structure and control logic of the system to be modeled by a DES system. The paper introduces an ongoing research of PLC code processing method for automatic simulation model generation of a conveyor system of a leading automotive factory. Results of the validation process and simulation experiments are also described through a case study.

View